Abstract: The knowledge model and growth model-based intelligent decision-making system for crop management integrates crop information and expert knowledge of multi-subject and correlative support technologies. Of key importance is to know how to design the functional modules of the system in order to make it convenient for a non-developer to understand and study the essential parts of the system, for functional modules to be reused and for the developer to maintain the system. The paper presents the selection of the software platform, the system structural design, the programming process of soft component with Visual C++ platform and key techniques; and thus provides a fundamental component frame for developing a decision-making system for crop management.